Publication: Clustering Analysis Influenza Disease to Identify Spatio-Temporal Spread Pattern in Thailand
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Issued Date
2021-10-19
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ISSN
26730014
16866576
16866576
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2-s2.0-85123197155
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Mahidol University
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SCOPUS
Bibliographic Citation
International Journal of Geoinformatics. Vol.17, No.5 (2021), 81-89
Suggested Citation
W. Muttitanon Clustering Analysis Influenza Disease to Identify Spatio-Temporal Spread Pattern in Thailand. International Journal of Geoinformatics. Vol.17, No.5 (2021), 81-89. doi:10.52939/ijg.v17i5.2015 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/76845
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Title
Clustering Analysis Influenza Disease to Identify Spatio-Temporal Spread Pattern in Thailand
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Abstract
The pandemics of influenza in Nonthaburi province was investigated by using autoregression and found the influenza spread pattern by autocorrelation (Moran's I). Population density, temperature, relative humidity, and rainfall are the factors used in the analysis. The influenza quantitative cross-section retrospective research design was employed from 2003-2010. Three seasons are classified as: hot, rainy, and winter season. The study found that influenza outbreaks in the rainy season was R2=0.45 and population density apparently affected the spread of influenza incidence with statistical significance coefficient (p-value <0.05). From the distribution pattern, the highest Moran's I values were related with the highest population density in 4 sub-districts: Suenyai, Taladkhwun, Bangkhen, and Bangkruay sub-district.